Do Constructed-Response and Multiple-Choice Questions Measure the Same Thing?
AbstractOur study empirically investigates the relationship between constructed-response (CR) and multiple-choice (MC) questions using a unique data set compiled from several years of university introductory economics classes. We conclude that CR and MC questions do not measure the same thing. Our main contribution is that we show that CR questions contain independent information that is related to student learning. Specifically, we find that the component of CR scores that cannot be explained by MC responses is positively and significantly related to (i) performance on a subsequent exam in the same economics course, and (ii) academic performance in other courses. Further, we present evidence that CR questions provide information that could not be obtained by expanding the set of MC questions. A final contribution of our study is that we demonstrate that empirical approaches that rely on factor analyses or Walstad-Becker (1994)-type regressions are unreliable in the following sense: It is possible for these empirical procedures to lead to the conclusion that CR and MC questions measure the same thing, even when the underlying data contain strong, contrary evidence. JEL Classifications: A22
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Bibliographic InfoPaper provided by University of Canterbury, Department of Economics and Finance in its series Working Papers in Economics with number 09/08.
Length: 35 pages
Date of creation: 01 May 2009
Date of revision:
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Principles of Economics Assessment; Multiple Choice; Constructed Response; Free Response; Essay;
Find related papers by JEL classification:
- A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-05-16 (All new papers)
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- Stephen Hickson & W. Robert Reed & Nicholas Sander, 2010. "To Use Constructed-Response Questions, Or Not To Use Constructed-Response Questions? That Is The Question," Working Papers in Economics 10/69, University of Canterbury, Department of Economics and Finance.
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